Darren Wilkinson
Professor Of Statistics
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDarren Wilkinson is a Professor of Statistics with over 25 years of academic experience and 17 years framed in research-active roles, specialising in Bayesian inference, stochastic modelling and applications to molecular and systems biology. He combines deep theoretical expertise with practical computing skills—working on computationally intensive parameter inference, stochastic model emulators, and leveraging HPC/Grid approaches to make “big data” problems tractable. His work bridges mathematics, probability, and computer science, with applied impact in bioinformatics and dynamic biological models. Beyond academia, he contributes to open-source numerical tooling—improving statistical primitives and adding a stats library to the Dex research language—to enhance numerical stability and probabilistic functionality. This blend of theory, scalable computation and hands-on software contributions makes him adept at turning complex biological models into reproducible, computable science.
16 years of coding experience
1 year of employment as a software developer
Ph.D., Statistics, Ph.D., Statistics at Durham University
Stackoverflow
321reputation
44kreached
6answers
1question
Github Skills (13)
randomization10
statistics10
probability-distribution10
distributions10
testing8
mcmc6
colt6
apply6
matrix6
long-integer6
r6
scala6
java6
Programming languages (8)
Github contributions (5)
google-research/dex-lang
Aug 2022 - Sep 2022
Research language for array processing in the Haskell/ML family
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 10 commits, 3 PRs in 18 days
Contributions summary:Darren primarily focused on improving and refining the Dex language's statistical capabilities. Their contributions involved fixing bugs in the normal random number generator and updating expected outputs in various examples to reflect these fixes. They also added a `stats` library containing probability distributions and related functions, which included refactoring and renaming types, and incorporating log-sum-exp techniques for numerical stability.
arrayhomotopy-type-theoryautomatic-differentiationhaskellarray-processing
darrenjw/scala-glm.g8
Jun 2017 - Dec 2024
Contributions:24 pushes, 1 branch in 7 years 7 months
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